Retail, Transportation & Logistics

Advanced Data Engineering for Fashion Retail

Services: Data Engineering

Challenge

Curve Health was operating on multiple cloud platforms, struggling with fragmented infrastructure. This created challenges around HIPAA compliance, security, scalability, and migration readiness. They needed to consolidate onto AWS to streamline operations, enhance security, and optimize their cloud environment for better performance.

Client Overview

A UK-based company specializing in providing actionable data for the fashion resale and commerce industry, aiming to catalog every consumer good ever created and offer comprehensive data access for frictionless commerce and resale.

Challenge

The client needed an automated, scalable solution to handle the extraction, transformation, and storage of extensive product data from multiple fashion price providers, ensuring seamless integration with their existing ETL processes.

Solution

Developed a robust data engineering solution leveraging advanced AWS technologies:

Automated Data Ingestion: Implemented an automated system for ingesting vendor-specific product data, reducing manual overhead and improving data accuracy.
Data Transformation: Transformed raw data into an analytics-ready format using Parquet to enhance querying efficiency and storage optimization.
Cloud-Native Architecture: Utilized AWS Lambda for scalable data processing and AWS S3 for cost-effective data storage, ensuring the system could handle growing data volumes efficiently.
Enhanced Security and Error Handling: Integrated AWS Secrets Manager for secure API key management and implemented detailed logging with Amazon CloudWatch for robust system monitoring and error resolution.

Impact

Operational Efficiency: Significantly reduced the time and labor associated with manual data handling by automating key processes.
Scalability and Performance: Ensured the system could scale dynamically with increasing data demands without sacrificing performance.
Cost and Performance Optimization: Achieved cost savings and performance boosts through optimized data storage solutions and efficient data processing techniques.